Unexpected result from ArcLengthDetermining which rule NIntegrate selects automaticallyFinding minimum fly-by radius between Mars and spacecraft from interpolating functionCoarse-graining in numerical integrationsNIntegrate fails to converge around a value out of integration rangeA 1D numerical integral Mathematica cannot compute, from physicsDifferential Equation with Numerically Integrated Boundary ConditionsDifferents results of the intersection area between two regions when using the function “Area” and the function “NIntegrate”Issue with boundary Integration of FEM numerical solution (interpolation function)How to get the most accurate volume of a special solid?Numerical solution of 3 dim integral with singularity

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Unexpected result from ArcLength


Determining which rule NIntegrate selects automaticallyFinding minimum fly-by radius between Mars and spacecraft from interpolating functionCoarse-graining in numerical integrationsNIntegrate fails to converge around a value out of integration rangeA 1D numerical integral Mathematica cannot compute, from physicsDifferential Equation with Numerically Integrated Boundary ConditionsDifferents results of the intersection area between two regions when using the function “Area” and the function “NIntegrate”Issue with boundary Integration of FEM numerical solution (interpolation function)How to get the most accurate volume of a special solid?Numerical solution of 3 dim integral with singularity













2












$begingroup$


I want to determine the arc lenght of a parametric curve $C: x(t),y(t) = cos(t)^p , sin(t)^p $ with $p$ between $0$ and $1$, and $t$ between $0$ and $pi/2$.



I set up the following function of $p$:



L[p_] := ArcLength[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, 
Method -> "NIntegrate", MaxRecursion -> 20]


For $p=1$ we have a quarter of a circle of radius 1 and we know the arc length is equal to $pi/2$. The above function gives the correct result: 1.5708.



For $p$ close to zero, the curve approaches a square, and we know the result should be very close to $2$. However, the function doesn't even come close to it. Evaluating L[1/100] results in 1.30603. Not close to 2 (it's not even bigger than Pi/2).



Plotting, results in the following:



Plot[L[p], p, 0, 1]



enter image description here



Any ideas? I'm running 11.0.0.0










share|improve this question











$endgroup$







  • 1




    $begingroup$
    I get a warning from NIntegrate ("Numerical integration converging too slowly; suspect one of the following: singularity...") when trying to evaluate L for small p.
    $endgroup$
    – MarcoB
    1 hour ago











  • $begingroup$
    @MarcoB I don't get any warnings when evaluating L[1/100]
    $endgroup$
    – Ivan
    1 hour ago















2












$begingroup$


I want to determine the arc lenght of a parametric curve $C: x(t),y(t) = cos(t)^p , sin(t)^p $ with $p$ between $0$ and $1$, and $t$ between $0$ and $pi/2$.



I set up the following function of $p$:



L[p_] := ArcLength[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, 
Method -> "NIntegrate", MaxRecursion -> 20]


For $p=1$ we have a quarter of a circle of radius 1 and we know the arc length is equal to $pi/2$. The above function gives the correct result: 1.5708.



For $p$ close to zero, the curve approaches a square, and we know the result should be very close to $2$. However, the function doesn't even come close to it. Evaluating L[1/100] results in 1.30603. Not close to 2 (it's not even bigger than Pi/2).



Plotting, results in the following:



Plot[L[p], p, 0, 1]



enter image description here



Any ideas? I'm running 11.0.0.0










share|improve this question











$endgroup$







  • 1




    $begingroup$
    I get a warning from NIntegrate ("Numerical integration converging too slowly; suspect one of the following: singularity...") when trying to evaluate L for small p.
    $endgroup$
    – MarcoB
    1 hour ago











  • $begingroup$
    @MarcoB I don't get any warnings when evaluating L[1/100]
    $endgroup$
    – Ivan
    1 hour ago













2












2








2





$begingroup$


I want to determine the arc lenght of a parametric curve $C: x(t),y(t) = cos(t)^p , sin(t)^p $ with $p$ between $0$ and $1$, and $t$ between $0$ and $pi/2$.



I set up the following function of $p$:



L[p_] := ArcLength[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, 
Method -> "NIntegrate", MaxRecursion -> 20]


For $p=1$ we have a quarter of a circle of radius 1 and we know the arc length is equal to $pi/2$. The above function gives the correct result: 1.5708.



For $p$ close to zero, the curve approaches a square, and we know the result should be very close to $2$. However, the function doesn't even come close to it. Evaluating L[1/100] results in 1.30603. Not close to 2 (it's not even bigger than Pi/2).



Plotting, results in the following:



Plot[L[p], p, 0, 1]



enter image description here



Any ideas? I'm running 11.0.0.0










share|improve this question











$endgroup$




I want to determine the arc lenght of a parametric curve $C: x(t),y(t) = cos(t)^p , sin(t)^p $ with $p$ between $0$ and $1$, and $t$ between $0$ and $pi/2$.



I set up the following function of $p$:



L[p_] := ArcLength[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, 
Method -> "NIntegrate", MaxRecursion -> 20]


For $p=1$ we have a quarter of a circle of radius 1 and we know the arc length is equal to $pi/2$. The above function gives the correct result: 1.5708.



For $p$ close to zero, the curve approaches a square, and we know the result should be very close to $2$. However, the function doesn't even come close to it. Evaluating L[1/100] results in 1.30603. Not close to 2 (it's not even bigger than Pi/2).



Plotting, results in the following:



Plot[L[p], p, 0, 1]



enter image description here



Any ideas? I'm running 11.0.0.0







numerical-integration






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 1 hour ago









Henrik Schumacher

56.6k577156




56.6k577156










asked 1 hour ago









IvanIvan

1,612821




1,612821







  • 1




    $begingroup$
    I get a warning from NIntegrate ("Numerical integration converging too slowly; suspect one of the following: singularity...") when trying to evaluate L for small p.
    $endgroup$
    – MarcoB
    1 hour ago











  • $begingroup$
    @MarcoB I don't get any warnings when evaluating L[1/100]
    $endgroup$
    – Ivan
    1 hour ago












  • 1




    $begingroup$
    I get a warning from NIntegrate ("Numerical integration converging too slowly; suspect one of the following: singularity...") when trying to evaluate L for small p.
    $endgroup$
    – MarcoB
    1 hour ago











  • $begingroup$
    @MarcoB I don't get any warnings when evaluating L[1/100]
    $endgroup$
    – Ivan
    1 hour ago







1




1




$begingroup$
I get a warning from NIntegrate ("Numerical integration converging too slowly; suspect one of the following: singularity...") when trying to evaluate L for small p.
$endgroup$
– MarcoB
1 hour ago





$begingroup$
I get a warning from NIntegrate ("Numerical integration converging too slowly; suspect one of the following: singularity...") when trying to evaluate L for small p.
$endgroup$
– MarcoB
1 hour ago













$begingroup$
@MarcoB I don't get any warnings when evaluating L[1/100]
$endgroup$
– Ivan
1 hour ago




$begingroup$
@MarcoB I don't get any warnings when evaluating L[1/100]
$endgroup$
– Ivan
1 hour ago










3 Answers
3






active

oldest

votes


















2












$begingroup$

Manipulate[ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2], p, 0.01, 1]


gives this plot at $p=0.01$:



(An unpreprocessing plot was here.)



Yes, looks to be approaching two sides of a square, but the sides are shrinking!



UPDATE:



p = 0.01; ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, Axes -> False, Frame -> True, PlotRange -> 0, 1.1, 0, 1.1]


enter image description here



So yes, the sides are not shrinking, but Mathematica seems to be missing some of the curve ...






share|improve this answer











$endgroup$












  • $begingroup$
    >but the sides are shrinking. Not really. Check your plotrange
    $endgroup$
    – Ivan
    1 hour ago











  • $begingroup$
    Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
    $endgroup$
    – MarcoB
    1 hour ago






  • 2




    $begingroup$
    No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
    $endgroup$
    – mjw
    1 hour ago







  • 1




    $begingroup$
    @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
    $endgroup$
    – Henrik Schumacher
    1 hour ago






  • 1




    $begingroup$
    @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
    $endgroup$
    – mjw
    1 hour ago



















2












$begingroup$

I can only provide an alternative to bypass ArcLength.



The points pts of a quarter circle are scaled such that they lie on the desired curve; afterwards the length of the polygonal line is computed. You will still get problems for values of p very close to 0, but at least you may obtain a qualitatively correct plot (so I hope).



Certainly this method won't provide you with the best possible accuracy. The relative error between the arclength $ell$ of an arc and the length $s$ of a secant is roughly $|ell/s - 1| leq ell^2 , max(|kappa|)$ in the limit of $ell to 0$. Since the maximal curvature in of curve goes to $infty$ for $p to infty$, the quality of this approximation will reduce significantly for $p to 0$.



n = 10000;
pts = Transpose[Cos[Subdivide[0., Pi/2, n]], Sin[Subdivide[0., Pi/2, n]]];
L[p_] := With[x = pts/Power[Dot[(Abs[pts]^(1/p)), 1., 1.], p],
Total[Sqrt[Dot[Differences[x]^2, 1., 1.]]]
]
Plot[L[p], p, 0.001, 1]


enter image description here






share|improve this answer











$endgroup$




















    2












    $begingroup$

    Seems to be a precision thing.



    L[p_] = Cos[t]^p, Sin[t]^p

    ArcLength[L[1/100], t, 0, π/2, WorkingPrecision -> 1000]

    1.99447959240474567...





    share|improve this answer









    $endgroup$












      Your Answer





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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      2












      $begingroup$

      Manipulate[ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2], p, 0.01, 1]


      gives this plot at $p=0.01$:



      (An unpreprocessing plot was here.)



      Yes, looks to be approaching two sides of a square, but the sides are shrinking!



      UPDATE:



      p = 0.01; ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, Axes -> False, Frame -> True, PlotRange -> 0, 1.1, 0, 1.1]


      enter image description here



      So yes, the sides are not shrinking, but Mathematica seems to be missing some of the curve ...






      share|improve this answer











      $endgroup$












      • $begingroup$
        >but the sides are shrinking. Not really. Check your plotrange
        $endgroup$
        – Ivan
        1 hour ago











      • $begingroup$
        Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
        $endgroup$
        – MarcoB
        1 hour ago






      • 2




        $begingroup$
        No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
        $endgroup$
        – mjw
        1 hour ago







      • 1




        $begingroup$
        @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
        $endgroup$
        – Henrik Schumacher
        1 hour ago






      • 1




        $begingroup$
        @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
        $endgroup$
        – mjw
        1 hour ago
















      2












      $begingroup$

      Manipulate[ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2], p, 0.01, 1]


      gives this plot at $p=0.01$:



      (An unpreprocessing plot was here.)



      Yes, looks to be approaching two sides of a square, but the sides are shrinking!



      UPDATE:



      p = 0.01; ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, Axes -> False, Frame -> True, PlotRange -> 0, 1.1, 0, 1.1]


      enter image description here



      So yes, the sides are not shrinking, but Mathematica seems to be missing some of the curve ...






      share|improve this answer











      $endgroup$












      • $begingroup$
        >but the sides are shrinking. Not really. Check your plotrange
        $endgroup$
        – Ivan
        1 hour ago











      • $begingroup$
        Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
        $endgroup$
        – MarcoB
        1 hour ago






      • 2




        $begingroup$
        No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
        $endgroup$
        – mjw
        1 hour ago







      • 1




        $begingroup$
        @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
        $endgroup$
        – Henrik Schumacher
        1 hour ago






      • 1




        $begingroup$
        @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
        $endgroup$
        – mjw
        1 hour ago














      2












      2








      2





      $begingroup$

      Manipulate[ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2], p, 0.01, 1]


      gives this plot at $p=0.01$:



      (An unpreprocessing plot was here.)



      Yes, looks to be approaching two sides of a square, but the sides are shrinking!



      UPDATE:



      p = 0.01; ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, Axes -> False, Frame -> True, PlotRange -> 0, 1.1, 0, 1.1]


      enter image description here



      So yes, the sides are not shrinking, but Mathematica seems to be missing some of the curve ...






      share|improve this answer











      $endgroup$



      Manipulate[ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2], p, 0.01, 1]


      gives this plot at $p=0.01$:



      (An unpreprocessing plot was here.)



      Yes, looks to be approaching two sides of a square, but the sides are shrinking!



      UPDATE:



      p = 0.01; ParametricPlot[Cos[t]^p, Sin[t]^p, t, 0, Pi/2, Axes -> False, Frame -> True, PlotRange -> 0, 1.1, 0, 1.1]


      enter image description here



      So yes, the sides are not shrinking, but Mathematica seems to be missing some of the curve ...







      share|improve this answer














      share|improve this answer



      share|improve this answer








      edited 1 hour ago

























      answered 1 hour ago









      mjwmjw

      5779




      5779











      • $begingroup$
        >but the sides are shrinking. Not really. Check your plotrange
        $endgroup$
        – Ivan
        1 hour ago











      • $begingroup$
        Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
        $endgroup$
        – MarcoB
        1 hour ago






      • 2




        $begingroup$
        No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
        $endgroup$
        – mjw
        1 hour ago







      • 1




        $begingroup$
        @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
        $endgroup$
        – Henrik Schumacher
        1 hour ago






      • 1




        $begingroup$
        @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
        $endgroup$
        – mjw
        1 hour ago

















      • $begingroup$
        >but the sides are shrinking. Not really. Check your plotrange
        $endgroup$
        – Ivan
        1 hour ago











      • $begingroup$
        Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
        $endgroup$
        – MarcoB
        1 hour ago






      • 2




        $begingroup$
        No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
        $endgroup$
        – mjw
        1 hour ago







      • 1




        $begingroup$
        @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
        $endgroup$
        – Henrik Schumacher
        1 hour ago






      • 1




        $begingroup$
        @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
        $endgroup$
        – mjw
        1 hour ago
















      $begingroup$
      >but the sides are shrinking. Not really. Check your plotrange
      $endgroup$
      – Ivan
      1 hour ago





      $begingroup$
      >but the sides are shrinking. Not really. Check your plotrange
      $endgroup$
      – Ivan
      1 hour ago













      $begingroup$
      Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
      $endgroup$
      – MarcoB
      1 hour ago




      $begingroup$
      Yes, but this does not seem to answer the OP's question. Try including smaller values of $p$.
      $endgroup$
      – MarcoB
      1 hour ago




      2




      2




      $begingroup$
      No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
      $endgroup$
      – mjw
      1 hour ago





      $begingroup$
      No, not that desperate ... By the way, you guys are tough! Imagine a classroom where a student gives an answer/suggestion that is not correct. Or a collaboration with somebody making a mistake. Seems that "Mathematica Stack Exchange" culture does not like people taking risks. May hurt creativity ... But we will have strictly precise, quality answers!!
      $endgroup$
      – mjw
      1 hour ago





      1




      1




      $begingroup$
      @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
      $endgroup$
      – Henrik Schumacher
      1 hour ago




      $begingroup$
      @mjw "Seems that "Mathematica Stack Exchange" culture does not like people taking risks." To the contrary. I was really surprise that posts in this threads were downvoted so quickly. Downvotes on answers are actually very uncommon on this site.
      $endgroup$
      – Henrik Schumacher
      1 hour ago




      1




      1




      $begingroup$
      @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
      $endgroup$
      – mjw
      1 hour ago





      $begingroup$
      @Ivan, yes, point well taken! Could be an artifact. But why is the ArcLength[] returning wrong results? Seems that in both cases Mathematica is undersampling ...
      $endgroup$
      – mjw
      1 hour ago












      2












      $begingroup$

      I can only provide an alternative to bypass ArcLength.



      The points pts of a quarter circle are scaled such that they lie on the desired curve; afterwards the length of the polygonal line is computed. You will still get problems for values of p very close to 0, but at least you may obtain a qualitatively correct plot (so I hope).



      Certainly this method won't provide you with the best possible accuracy. The relative error between the arclength $ell$ of an arc and the length $s$ of a secant is roughly $|ell/s - 1| leq ell^2 , max(|kappa|)$ in the limit of $ell to 0$. Since the maximal curvature in of curve goes to $infty$ for $p to infty$, the quality of this approximation will reduce significantly for $p to 0$.



      n = 10000;
      pts = Transpose[Cos[Subdivide[0., Pi/2, n]], Sin[Subdivide[0., Pi/2, n]]];
      L[p_] := With[x = pts/Power[Dot[(Abs[pts]^(1/p)), 1., 1.], p],
      Total[Sqrt[Dot[Differences[x]^2, 1., 1.]]]
      ]
      Plot[L[p], p, 0.001, 1]


      enter image description here






      share|improve this answer











      $endgroup$

















        2












        $begingroup$

        I can only provide an alternative to bypass ArcLength.



        The points pts of a quarter circle are scaled such that they lie on the desired curve; afterwards the length of the polygonal line is computed. You will still get problems for values of p very close to 0, but at least you may obtain a qualitatively correct plot (so I hope).



        Certainly this method won't provide you with the best possible accuracy. The relative error between the arclength $ell$ of an arc and the length $s$ of a secant is roughly $|ell/s - 1| leq ell^2 , max(|kappa|)$ in the limit of $ell to 0$. Since the maximal curvature in of curve goes to $infty$ for $p to infty$, the quality of this approximation will reduce significantly for $p to 0$.



        n = 10000;
        pts = Transpose[Cos[Subdivide[0., Pi/2, n]], Sin[Subdivide[0., Pi/2, n]]];
        L[p_] := With[x = pts/Power[Dot[(Abs[pts]^(1/p)), 1., 1.], p],
        Total[Sqrt[Dot[Differences[x]^2, 1., 1.]]]
        ]
        Plot[L[p], p, 0.001, 1]


        enter image description here






        share|improve this answer











        $endgroup$















          2












          2








          2





          $begingroup$

          I can only provide an alternative to bypass ArcLength.



          The points pts of a quarter circle are scaled such that they lie on the desired curve; afterwards the length of the polygonal line is computed. You will still get problems for values of p very close to 0, but at least you may obtain a qualitatively correct plot (so I hope).



          Certainly this method won't provide you with the best possible accuracy. The relative error between the arclength $ell$ of an arc and the length $s$ of a secant is roughly $|ell/s - 1| leq ell^2 , max(|kappa|)$ in the limit of $ell to 0$. Since the maximal curvature in of curve goes to $infty$ for $p to infty$, the quality of this approximation will reduce significantly for $p to 0$.



          n = 10000;
          pts = Transpose[Cos[Subdivide[0., Pi/2, n]], Sin[Subdivide[0., Pi/2, n]]];
          L[p_] := With[x = pts/Power[Dot[(Abs[pts]^(1/p)), 1., 1.], p],
          Total[Sqrt[Dot[Differences[x]^2, 1., 1.]]]
          ]
          Plot[L[p], p, 0.001, 1]


          enter image description here






          share|improve this answer











          $endgroup$



          I can only provide an alternative to bypass ArcLength.



          The points pts of a quarter circle are scaled such that they lie on the desired curve; afterwards the length of the polygonal line is computed. You will still get problems for values of p very close to 0, but at least you may obtain a qualitatively correct plot (so I hope).



          Certainly this method won't provide you with the best possible accuracy. The relative error between the arclength $ell$ of an arc and the length $s$ of a secant is roughly $|ell/s - 1| leq ell^2 , max(|kappa|)$ in the limit of $ell to 0$. Since the maximal curvature in of curve goes to $infty$ for $p to infty$, the quality of this approximation will reduce significantly for $p to 0$.



          n = 10000;
          pts = Transpose[Cos[Subdivide[0., Pi/2, n]], Sin[Subdivide[0., Pi/2, n]]];
          L[p_] := With[x = pts/Power[Dot[(Abs[pts]^(1/p)), 1., 1.], p],
          Total[Sqrt[Dot[Differences[x]^2, 1., 1.]]]
          ]
          Plot[L[p], p, 0.001, 1]


          enter image description here







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited 1 hour ago

























          answered 1 hour ago









          Henrik SchumacherHenrik Schumacher

          56.6k577156




          56.6k577156





















              2












              $begingroup$

              Seems to be a precision thing.



              L[p_] = Cos[t]^p, Sin[t]^p

              ArcLength[L[1/100], t, 0, π/2, WorkingPrecision -> 1000]

              1.99447959240474567...





              share|improve this answer









              $endgroup$

















                2












                $begingroup$

                Seems to be a precision thing.



                L[p_] = Cos[t]^p, Sin[t]^p

                ArcLength[L[1/100], t, 0, π/2, WorkingPrecision -> 1000]

                1.99447959240474567...





                share|improve this answer









                $endgroup$















                  2












                  2








                  2





                  $begingroup$

                  Seems to be a precision thing.



                  L[p_] = Cos[t]^p, Sin[t]^p

                  ArcLength[L[1/100], t, 0, π/2, WorkingPrecision -> 1000]

                  1.99447959240474567...





                  share|improve this answer









                  $endgroup$



                  Seems to be a precision thing.



                  L[p_] = Cos[t]^p, Sin[t]^p

                  ArcLength[L[1/100], t, 0, π/2, WorkingPrecision -> 1000]

                  1.99447959240474567...






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered 39 mins ago









                  Bill WattsBill Watts

                  3,4811620




                  3,4811620



























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